Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 812 · 40 questions

AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.

1. 1.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 15 right. How many percentage points more accurate is Model A?
2. 2.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
3. 3.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
5. 5.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
6. 6.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
7. 7.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
8. 8.🎯 Aarav’s bird-song app was tested on 20 new bird songs and got 20 right. What is its accuracy in percent?
9. 9.❌ Diya’s fruit sorter was tested on 38 new fruit photos and got 29 right. How many did it get wrong?
10. 10.🎯 Meera’s leaf identifier was tested on 25 new leaf photos and got 13 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
12. 12.❌ Tara’s spam spotter was tested on 14 new messages and got 12 right. How many did it get wrong?
13. 13.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
14. 14.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
15. 15.❌ Tara’s leaf identifier was tested on 25 new leaf photos and got 18 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
17. 17.❌ Saanvi’s recycling sorter was tested on 28 new waste photos and got 27 right. How many did it get wrong?
18. 18.📦 Vihaan collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 49 right and Model B got 44 right. How many percentage points more accurate is Model A?
20. 20.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
21. 21.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 18 right and Model B got 15 right. How many percentage points more accurate is Model A?
22. 22.🎯 Nisha’s bird-song app was tested on 50 new bird songs and got 45 right. What is its accuracy in percent?
23. 23.🎯 Arjun’s leaf identifier was tested on 20 new leaf photos and got 20 right. What is its accuracy in percent?
24. 24.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
25. 25.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
26. 26.❌ Rohan’s handwriting reader was tested on 36 new handwritten letters and got 34 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
28. 28.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
29. 29.🎯 Vihaan’s recycling sorter is 60% accurate. If it is tested on 100 new waste photos, how many should it get right?
30. 30.📦 Aarav collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
31. 31.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) correct + total (d) total − correct
32. 32.📋 Planning an AI project: which comes first — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
33. 33.❌ Aarav’s handwriting reader was tested on 28 new handwritten letters and got 21 right. How many did it get wrong?
34. 34.🎯 Kabir’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
36. 36.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
37. 37.📦 Diya collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
38. 38.🎯 Vihaan’s recycling sorter is 60% accurate. If it is tested on 20 new waste photos, how many should it get right?
39. 39.📦 Nisha collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
40. 40.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students